AI for brand identity in 2026: what it's good for (and what to avoid)
Where AI genuinely helps a brand process, covering exploration, variation, and asset production, plus where it reliably produces something forgettable.
Blog
Short, practical notes on tools, workflows, and design.
AI copy for products: microcopy, onboarding, and empty states that feel human
Reusable prompt scaffolds for product voice, plus the tooling that keeps Figma strings and production strings identical.
AI prototyping in 2026: fastest ways to test an idea in a day
The tools and patterns that turn a concept into something clickable before the meeting, matched to the fidelity your question actually needs.
The monthly AI design curation: what got better, what got worse, what's worth paying for
A recurring roundup format that stays honest, measured on shipping impact rather than launch-day hype.
AI + design systems: keeping components consistent at speed
Prompts, checks, and conventions that stop 'almost-right' UI drift when generation gets fast enough to outrun review.
AI for UX research in 2026: synthesis that doesn't hallucinate
How to structure notes, themes, and evidence so AI summaries are trustworthy, plus the tools that make the trail auditable.
The AI design workflow: brief → wireframes → UI → shipped (without losing taste)
A repeatable pipeline for solo founders and small teams: where to let AI drive, where to take the wheel back, and the checks that keep quality high.
Top 5 AI design tools to master in 2026 (and what to use them for)
Five tools worth real practice rather than a free trial, and the specific job each one earns its place doing.
The best AI design tools in 2026 (a practical guide)
A pragmatic shortlist of the AI tools designers actually keep in the dock, plus what each one is genuinely good at, and where the hype breaks down.